industry news
Subscribe Now

Aspinity Redefines Always-on Power Efficiency with First Analog Machine Learning Chip

AML100 boosts battery life by up to 20x with innovative system-level approach to always-on power reduction

PITTSBURGH — February 15, 2022 – Aspinity, the pioneer in analog machine learning chips, today launched the first member of its analogML family, the AML100, which is the industry’s first and only tiny machine learning (ML) solution operating completely within the analog domain. As such, the AML100 reduces always-on system power by 95%, allowing manufacturers to dramatically extend the battery life of today’s devices or migrate walled powered always-on devices to battery—opening whole new classes of products for voice-first systems, home and commercial security, predictive and preventative maintenance, and biomedical monitoring.

Minimizing the quantity and movement of data through a system is one of the most efficient ways to reduce power consumption, but today’s always-on devices don’t have that capability. Instead, they continuously collect large amounts of natively analog data as they monitor their environment and digitize the data immediately, wasting tremendous system power processing data that are mostly irrelevant to the application. In contrast, the AML100 delivers substantial system-level power-savings by moving the ML workload to ultra-low-power analog, where the AML100 can determine data relevancy with a high degree of accuracy and at near-zero power. This makes the AML100 the only tinyML chip that intelligently reduces data at the sensor while the data is still analog and keeps the digital components in low power mode until important data is detected, thereby eliminating the power penalty of digitization, digital processing, and transmission of irrelevant data.

“We’ve long realized that reducing the power of each individual chip within an always-on system provides only incremental improvements to battery life,” said Tom Doyle, founder and CEO, Aspinity. “That’s not good enough for manufacturers who need revolutionary power improvements. The AML100 reduces always-on system power to under 100µA, and that unlocks the potential of thousands of new kinds of applications running on battery.”

Inside the AML100

The heart of the AML100 is an array of independent, configurable analog blocks (CABs) that are fully programmable within software to support a wide range of functions, including sensor interfacing and ML. This versatility delivers a tremendous advantage over other analog approaches, which are rigid and only address a single function. The AML100, however, is highly flexible, and can be reprogrammed in the field with software updates or with new algorithms targeting other always-on applications.

The precise programmability of the AML100’s analog circuits also eliminates the chip-to-chip performance inconsistencies typical of standard analog CMOS process variation, which has severely limited the use of highly sophisticated analog chips, even when the inherent low power of analog makes it better suited for a specific task.

Key Features of the AML100

  • Consumes less than 20µA when always-sensing
  • Intelligently reduces quantity of data by up to 100x while the data are still in analog
  • Features field-programmable functionality to address a wide range of always-on applications
  • Leverages patented analog compression technology for preroll collection to maintain accuracy of wake word engine in voice-enabled devices
  • Supports 4 analog sensors in any combination (microphones, accelerometers, etc.)
  • Available in 7mm x 7mm 48-pin QFN package


Aspinity’s AML100 is currently sampling to key customers with volume production planned for Q4 2022. Customers can evaluate the AML100’s capabilities by purchasing one of Aspinity’s integrated hardware-software evaluation kits: EVK1 for glass break and T3/T4 alarm tone detection or EVK2 for voice detection with preroll collection and delivery. Contact Aspinity about evaluation kits with software packages for other applications. For more information, download the AML100 product brief or contact Aspinity.

About Aspinity

Aspinity is the world leader in the design and development of analog processing chips that are revolutionizing the power- and data-efficiency of always-on sensing architectures. By delivering highly discriminating analog event detection, Aspinity’s ultra-low power, trainable and programmable analog machine learning (analogML) core eliminates the power penalty of moving irrelevant data through the digital processing system, dramatically extending battery life in consumer, IoT, industrial and biomedical applications.

For more information on Aspinity, stay in touch on LinkedIn and Twitter: @aspinity, email: or visit

Leave a Reply

featured blogs
May 25, 2023
Register only once to get access to all Cadence on-demand webinars. Unstructured meshing can be automated for much of the mesh generation process, saving significant engineering time and cost. However, controlling numerical errors resulting from the discrete mesh requires ada...
May 24, 2023
Accelerate vision transformer models and convolutional neural networks for AI vision systems with the ARC NPX6 NPU IP, the best processor for edge AI devices. The post Designing Smarter Edge AI Devices with the Award-Winning Synopsys ARC NPX6 NPU IP appeared first on New Hor...
May 8, 2023
If you are planning on traveling to Turkey in the not-so-distant future, then I have a favor to ask....

featured video

Find Out How The Best Custom Design Tools Just Got Better

Sponsored by Cadence Design Systems

The analog design world we know is evolving. And so is Cadence Virtuoso technology. Learn how the best analog tools just got better to help you keep pace with your challenging design issues. The AI-powered Virtuoso Studio custom design solution provides innovative features, reimagined infrastructure for unrivaled productivity, generative AI for design migration, and new levels of integration that stretch beyond classic design boundaries.

Click here for more information

featured contest

Join the AI Generated Open-Source Silicon Design Challenge

Sponsored by Efabless

Get your AI-generated design manufactured ($9,750 value)! Enter the E-fabless open-source silicon design challenge. Use generative AI to create Verilog from natural language prompts, then implement your design using the Efabless chipIgnite platform - including an SoC template (Caravel) providing rapid chip-level integration, and an open-source RTL-to-GDS digital design flow (OpenLane). The winner gets their design manufactured by eFabless. Hurry, though - deadline is June 2!

Click here to enter!

featured chalk talk

Bluetooth LE Audio
Bluetooth LE Audio is a prominent component in audio innovation today. In this episode of Chalk Talk, Finn Boetius from Nordic Semiconductor and Amelia Dalton discuss the what, where, and how of Bluetooth LE audio. They take a closer look at Bluetooth LE audio profiles, the architecture of Bluetooth LE audio and how you can get started using Bluetooth LE audio in your next design.
Jan 3, 2023